Prompt Engineering
Starts Oct 2 | 8 hours commitment | ₹ 12,000 | Age 12+
What you'll learn
This intensive course teaches students to harness AI tools through effective prompt engineering. Learn to craft clear instructions, design multi-step workflows, and build practical AI solutions for writing, research, coding, and creative projects. Students develop critical thinking about AI capabilities and limitations while creating a capstone project they can showcase. Perfect for students seeking competitive advantages in academics, personal projects, and future careers where AI literacy is essential.
Instructor:
Saara Anand
Saara Anand is a Software Engineer at a Fortune 500 company and an experienced AI and Data Science trainer. She has hands-on expertise in developing real-world machine learning, natural language processing, and data-driven solutions, and is passionate about helping students apply AI concepts to practical challenges.
Outcomes
Learn the basics of Prompt Engineering
Create a project applying personalized AI systems solving real problems
Get published on Futurowise. See what past students have built
Earn a certificate with unique credential id
Explore careers in AI product development, content creation, data analysis, and educational technology
Details
When: Oct 2 to Oct 4, 2026
Duration: 3 days | Live sessions on weekend afternoon, India time
Commitment: 8 hours: 4 sessions of 1-hour each + 4 hours of self-paced work
Where: Online (on Zoom)
Recommended For: Age 12 years and above
For students interested in:
STEM, Coding, Tech, Communication
Overview
Before the program
Students receive a short pre-read on how AI language models work and why the way you communicate with them changes the output, so Session 1 starts with context already in place.
Week 1 - From Foundations to Real Applications
Session 1 | Friday, Oct 2
Foundations and mental models. Understanding AI as a prediction system. Core principles of clarity, context, examples, and iteration for effective prompting and communication.
Session 2 | Saturday, Oct 3
Advanced techniques and workflows. Chain-of-thought prompting, task decomposition, few-shot learning, and structured outputs. Debugging strategies for refining AI responses through iteration.
Session 3 | Saturday, Oct 3
Domain applications and ethics. Applying prompts across writing, coding, research, and creative domains. Critical evaluation of AI limitations, biases, hallucinations, and ethical usage.
Session 4 | Sunday, Oct 4
Capstone project workshop. Students develop personalized AI systems solving real problems. Project documentation, iteration logs, presentations, and peer feedback sessions.
Project submission deadline: Oct 9
After the program: Students complete their project documentation, submit for publishing, and receive their certificate. They walk away with a structured approach to working with AI that applies across writing, research, coding, and creative work.
The sessions were extremely informative, and the hands-on experience was both valuable and engaging.
Siya
Belvedere British School, Abu Dhabi